{"title":"肱骨皮质厚度在磁共振成像中预测骨质疏松症的作用。","authors":"Sevde Nur Emir, Safiye Sanem Dereli Bulut","doi":"10.1177/17585732241279090","DOIUrl":null,"url":null,"abstract":"<p><strong>Aim: </strong>This study aims to evaluate the efficacy of humerus cortical thickness on coronal T1-weighted images of the humerus in distinguishing patients with normal vs. abnormal bone mineral density (BMD).</p><p><strong>Methods: </strong>Patients (n:138) with shoulder magnetic resonance imaging (MRI) and dual-energy x-ray absorptiometry (DXA) scans were evaluated. Patients were grouped into normal and low BMD (osteopenia and osteoporosis) according to DXA. An average cortical bone thickness (CBTavg) and gauge cortical bone thickness (CBTg) were calculated from the proximal humerus on coronal T1W MRI. Sensitivity and specificity for the prediction of osteoporosis were determined for several cortical bone thickness thresholds.</p><p><strong>Results: </strong>Proximal humerus average cortical bone thickness measurements strongly correlated with DXA femur and lumbar scores (<i>p</i> < 0.01). Gauge cortical thickness measurements also correlated with DXA femur and lumbar scores (<i>p</i> < 0.01). Average cortical bone thickness measurement of 4.52 mm was determined to be a potential marker for predicting osteoporosis, with a sensitivity of 92.3% and a specificity of 84.9%.</p><p><strong>Conclusion: </strong>Average cortical bone thickness measurements obtained from shoulder MRI are correlated with DXA. It appears to be effective in differentiating patients with normal and abnormal BMD and may help to opportunistically predict patients with osteoporosis in a rapid, simple and practical way, potentially guiding further diagnostic assessments.</p>","PeriodicalId":36705,"journal":{"name":"Shoulder and Elbow","volume":" ","pages":"17585732241279090"},"PeriodicalIF":1.5000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11559878/pdf/","citationCount":"0","resultStr":"{\"title\":\"The role of humerus cortical thickness in predicting osteoporosis in MR imaging.\",\"authors\":\"Sevde Nur Emir, Safiye Sanem Dereli Bulut\",\"doi\":\"10.1177/17585732241279090\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Aim: </strong>This study aims to evaluate the efficacy of humerus cortical thickness on coronal T1-weighted images of the humerus in distinguishing patients with normal vs. abnormal bone mineral density (BMD).</p><p><strong>Methods: </strong>Patients (n:138) with shoulder magnetic resonance imaging (MRI) and dual-energy x-ray absorptiometry (DXA) scans were evaluated. Patients were grouped into normal and low BMD (osteopenia and osteoporosis) according to DXA. An average cortical bone thickness (CBTavg) and gauge cortical bone thickness (CBTg) were calculated from the proximal humerus on coronal T1W MRI. Sensitivity and specificity for the prediction of osteoporosis were determined for several cortical bone thickness thresholds.</p><p><strong>Results: </strong>Proximal humerus average cortical bone thickness measurements strongly correlated with DXA femur and lumbar scores (<i>p</i> < 0.01). Gauge cortical thickness measurements also correlated with DXA femur and lumbar scores (<i>p</i> < 0.01). Average cortical bone thickness measurement of 4.52 mm was determined to be a potential marker for predicting osteoporosis, with a sensitivity of 92.3% and a specificity of 84.9%.</p><p><strong>Conclusion: </strong>Average cortical bone thickness measurements obtained from shoulder MRI are correlated with DXA. It appears to be effective in differentiating patients with normal and abnormal BMD and may help to opportunistically predict patients with osteoporosis in a rapid, simple and practical way, potentially guiding further diagnostic assessments.</p>\",\"PeriodicalId\":36705,\"journal\":{\"name\":\"Shoulder and Elbow\",\"volume\":\" \",\"pages\":\"17585732241279090\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11559878/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Shoulder and Elbow\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/17585732241279090\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ORTHOPEDICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Shoulder and Elbow","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/17585732241279090","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ORTHOPEDICS","Score":null,"Total":0}
引用次数: 0
摘要
目的:本研究旨在评估肱骨冠状T1加权图像上的肱骨皮质厚度在区分骨矿物质密度(BMD)正常与异常患者方面的功效:方法:对接受肩部磁共振成像(MRI)和双能 X 射线吸收测量(DXA)扫描的患者(138 人)进行评估。根据 DXA 将患者分为正常 BMD 和低 BMD(骨质疏松症和骨质疏松症)两组。根据肱骨近端冠状位 T1W 磁共振成像计算出平均皮质骨厚度(CBTavg)和规整皮质骨厚度(CBTg)。根据不同的皮质骨厚度阈值,确定了预测骨质疏松症的灵敏度和特异性:肱骨近端平均皮质骨厚度测量值与 DXA 股骨和腰椎评分密切相关(p p 结论:肱骨近端平均皮质骨厚度测量值与 DXA 股骨和腰椎评分密切相关:肩部磁共振成像获得的平均皮质骨厚度测量值与 DXA 相关。它似乎能有效区分骨密度正常和异常的患者,并有助于以快速、简单和实用的方式适时预测骨质疏松症患者,从而为进一步的诊断评估提供指导。
The role of humerus cortical thickness in predicting osteoporosis in MR imaging.
Aim: This study aims to evaluate the efficacy of humerus cortical thickness on coronal T1-weighted images of the humerus in distinguishing patients with normal vs. abnormal bone mineral density (BMD).
Methods: Patients (n:138) with shoulder magnetic resonance imaging (MRI) and dual-energy x-ray absorptiometry (DXA) scans were evaluated. Patients were grouped into normal and low BMD (osteopenia and osteoporosis) according to DXA. An average cortical bone thickness (CBTavg) and gauge cortical bone thickness (CBTg) were calculated from the proximal humerus on coronal T1W MRI. Sensitivity and specificity for the prediction of osteoporosis were determined for several cortical bone thickness thresholds.
Results: Proximal humerus average cortical bone thickness measurements strongly correlated with DXA femur and lumbar scores (p < 0.01). Gauge cortical thickness measurements also correlated with DXA femur and lumbar scores (p < 0.01). Average cortical bone thickness measurement of 4.52 mm was determined to be a potential marker for predicting osteoporosis, with a sensitivity of 92.3% and a specificity of 84.9%.
Conclusion: Average cortical bone thickness measurements obtained from shoulder MRI are correlated with DXA. It appears to be effective in differentiating patients with normal and abnormal BMD and may help to opportunistically predict patients with osteoporosis in a rapid, simple and practical way, potentially guiding further diagnostic assessments.